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Background: In Europe, the prevalence of congenital ocular anomaly (COA) is estimated at 3.7 per 10,000 births. While certain COAs have a genetic origin, the cause for most patients remains unknown. The role of medications administered during pregnancy in COA genesis in humans is unclear., Objective: To investigate any association between fetal exposure in the first trimester of pregnancy to medications and the occurrence of COA., Methods: We conducted a case-malformed-control study using data on 298,351 cases registered as having congenital anomalies (CA) from 19 registries and one healthcare database in 13 European countries. Two analyses were performed: (i) A signal confirmation analysis of signals from the literature, examining associations between COA and specific medications (nitrofurantoin, NSAIDs, opioids, alprazolam, antihypertensives, asthma medications, pyridoxine, and hydroxyethylrutoside). (ii) A signal detection analysis of all medications reported in the database., Results: We identified 4185 COA cases and 232,718 nongenetic and 38,409 genetic controls. We confirmed the association between prenatal opioid exposure and COA (aROR: 2.66, 95% CI: 1.18, 6.02, and 3.22, 95% CI: 1.35, 7.69, for nongenetic and genetic controls, respectively). Signal detection analysis revealed consistent associations for antiglaucoma preparations and miotics (p < 0.01) related to COA. Other associations included congenital cataracts and lens anomalies with desloratadine, congenital glaucoma with antiepileptics, and eyelid malformations with dermatological hydrocortisone., Conclusions: This pharmacoepidemiological study in Europe analyzing COA following fetal medication exposure confirmed reported signals regarding opioids and COA and identified new associations. Validation in independent datasets is necessary to consolidate these findings., (© 2025 Wiley Periodicals LLC.)

Background: Although accessing administrative data in healthcare databases may be a more time-efficient and cost-effective method of conducting surveillance, there is evidence suggesting that administrative data alone are not sufficient for population-based surveillance of congenital anomalies., Objective: To propose recommendations to maximise the potential use of healthcare databases for surveillance of congenital anomalies based on our data linkage experiences and results from the EUROlinkCAT study., Methods: EUROlinkCAT is a population-based cohort study of 99,416 children with anomalies born between 1995 and 2014. The congenital anomaly case records of children in 11 European congenital anomaly (EUROCAT) registries (eight countries) were linked to standardised administrative healthcare data (birth records, death records and hospital discharge records) to evaluate mortality and morbidity outcomes in these children. Overall, 97% of children with anomalies were successfully matched to their records in their national or regional administrative databases. Recommendations to improve surveillance of anomalies when using healthcare data were developed through establishing and analysing data from this cohort., Results: The primary recommendation is to develop systems to report anomalies diagnosed in foetuses who undergo a termination and link these data to their mothers. Each liveborn baby must be assigned a permanent unique identification number at birth to enable accurate linkage across healthcare databases. Implementing and improving existing algorithms to discriminate between major anomalies and suspected or minor anomalies will improve accuracy in coding. Heterogeneity in coding anomalies will improve by avoiding the use of 'unspecified' or 'other specified' codes in hospital databases. Relaxation of country-specific regulations concerning the suppression of small numbers are necessary to enable data to be combined across European countries., Conclusion: Implementation of these recommendations will enable the information in electronic healthcare databases, in conjunction with Congenital Anomaly registries, to be fully exploited and hence will improve the surveillance of anomalies in children., (© 2025 The Author(s). Paediatric and Perinatal Epidemiology published by John Wiley & Sons Ltd.)